Abstract: The enormous growth of web and its user base has become source amount of knowledge available online. This information is also helpful for users, to suggest items or services as per their preferences. Recommender system plays the role of generating suggestions by collecting user information like preferences, interests, and locations. The research on recommender systems gained importance after the emergence of collaborative filtering. Generating suggestions in step with user preferences may be a complex task for recommender systems. Recommender system uses information from many sources to form predictions and to suggest an item for a user. This project are a one-stop tool for travellers planning their vacations by providing them suitable recommendations in step with preferences.
Keywords: Recommender Systems, Machine learning, Collaborative Filtering, Cosine Similarity, Travel and Tourism.
|
DOI:
10.17148/IJARCCE.2022.11427
